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基于小波趋势分析的光学反馈干涉法微谐波振动测量

Measurement of micro-harmonic vibration from optical feedback interferometry using wavelet trend analysis.

作者信息

Bhardwaj Vibhor Kumar, Maini Surita

机构信息

Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering & Technology, Sangrur, India.

Department of Electronics and Communication Engineering, Bhagwant Institute of Technology, Muzaffarnagar, India.

出版信息

Opt Commun. 2020 Dec 1;476:126330. doi: 10.1016/j.optcom.2020.126330. Epub 2020 Jul 30.

DOI:10.1016/j.optcom.2020.126330
PMID:32834124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7392216/
Abstract

Self-mixed optical feedback interferometry based laser sensors show promising results in the measurement of the vibration frequency. To date several measurement methods have been developed to extract the vibration information from the self-mixed (SM) signal; however, the complexity and accuracy of the methods still need improvement. The presented work tries to fulfill the gap by realizing a novel method using maximal overlap discrete wavelet transformation (MODWT) and multi-resolution analysis (MRA). The proposed method can reconstruct the micro-harmonic (< ) vibration up to 1 kHz even under weak feedback conditions. The mean squared error and the maximum relative error of the proposed method for this range remained below 1.89 & 8.79%, respectively. Although, above 1 kHz, the proposed method turns out to be futile to reconstruct the vibration signal but still capable to measure vibration frequency up to 10 kHz with an accuracy of 0.0001. The method also found suitable to measure non-sinusoidal vibration frequency with reasonable accuracy even for the moderate feedback conditions. The authors envision that the proposed method will provide a compact, non-contact, and low-cost alternative for the vibration frequency measurement hence useful in early fault detection schemes and lung abnormality diagnosis.

摘要

基于自混合光反馈干涉测量法的激光传感器在振动频率测量方面显示出了良好的效果。迄今为止,已经开发了几种测量方法来从自混合(SM)信号中提取振动信息;然而,这些方法的复杂性和准确性仍有待提高。本文提出的工作试图通过实现一种使用最大重叠离散小波变换(MODWT)和多分辨率分析(MRA)的新方法来填补这一空白。所提出的方法即使在弱反馈条件下也能重建高达1 kHz的微谐波(< )振动。该方法在此范围内的均方误差和最大相对误差分别保持在1.89 & 8.79%以下。尽管在1 kHz以上,所提出的方法在重建振动信号方面变得无效,但仍能够以0.0001的精度测量高达10 kHz的振动频率。该方法还被发现即使在中等反馈条件下也能以合理的精度测量非正弦振动频率。作者设想,所提出的方法将为振动频率测量提供一种紧凑、非接触且低成本的替代方案,因此在早期故障检测方案和肺部异常诊断中很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/fd04972a0715/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/d62059cab553/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/2d3eeaacb3b2/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/35f2234bf82a/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/85ac5528c2d9/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/f3c5d0872ba3/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/3bac8f460681/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/cce19892acab/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/0c6fbd77e278/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/dd8d30b4507d/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/fd04972a0715/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/d62059cab553/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/2d3eeaacb3b2/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/35f2234bf82a/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/85ac5528c2d9/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/f3c5d0872ba3/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/3bac8f460681/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/cce19892acab/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/0c6fbd77e278/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/dd8d30b4507d/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc2/7392216/fd04972a0715/gr10_lrg.jpg

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